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https://issues.apache.org/jira/browse/SPARK-39993?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hanna Liashchuk updated SPARK-39993:
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Affects Version/s: (was: 3.3.2)
> Spark on Kubernetes doesn't filter data by date
> -----------------------------------------------
>
> Key: SPARK-39993
> URL: https://issues.apache.org/jira/browse/SPARK-39993
> Project: Spark
> Issue Type: Bug
> Components: Kubernetes
> Affects Versions: 3.2.2
> Environment: Kubernetes v1.23.6
> Spark 3.2.2
> Java 1.8.0_312
> Python 3.9.13
> Aws dependencies:
> aws-java-sdk-bundle-1.11.901.jar and hadoop-aws-3.3.1.jar
> Reporter: Hanna Liashchuk
> Priority: Major
> Labels: kubernetes
>
> I'm creating a Dataset with type date and saving it into s3. When I read it
> and try to use where() clause, I've noticed it doesn't return data even
> though it's there
> Below is the code snippet I'm running
>
> {code:java}
> from pyspark.sql.types import Row
> from pyspark.sql.functions import *
> ds = spark.range(10).withColumn("date", lit("2022-01-01")).withColumn("date",
> col("date").cast("date"))
> ds.where("date = '2022-01-01'").show()
> ds.write.mode("overwrite").parquet("s3a://bucket/test")
> df = spark.read.format("parquet").load("s3a://bucket/test")
> df.where("date = '2022-01-01'").show()
> {code}
> The first show() returns data, while the second one - no.
> I've noticed that it's Kubernetes master related, as the same code snipped
> works ok with master "local"
> UPD: if the column is used as a partition and has the type "date" there is no
> filtering problem.
>
>
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